Ocean Surface Wave Model Hindcast Data-US East Coast, Gulf of Mexico, Caribbean Sea (Puerto Rico & US Virgin Islands)

In progress License 

This dataset contains the raw model outputs from long-term (42 years), high-resolution (approximately 200 m in the nearshore regions) Simulating WAves Nearshore (SWAN) hindcasts covering the East Coast, Gulf of Mexico, Puerto Rico, and US Virgin Islands regions of the US Exclusive Economic Zone (EEZ). Comprehensive bulk wave data is available at the model output nodes and full, directionally resolved, 2D wave spectra is available at "virtual buoy" locations covering select NDBC and CDIP stations as well as select wave energy converter test sites. The bulk wave data is available at a 3-hr temporal resolution, and the full 2D wave spectra is available at a 1-hr temporal resolution. Development of this hindcast dataset was motivated mainly to support the wave energy industry, both in planning wave energy projects, operation and maintenance, and design of wave energy converters. The utility of this dataset extends beyond the wave energy industry and also has value for characterizing extreme wave loads and accessing risks for ocean engineering projects.

Citation Formats

TY - DATA AB - This dataset contains the raw model outputs from long-term (42 years), high-resolution (approximately 200 m in the nearshore regions) Simulating WAves Nearshore (SWAN) hindcasts covering the East Coast, Gulf of Mexico, Puerto Rico, and US Virgin Islands regions of the US Exclusive Economic Zone (EEZ). Comprehensive bulk wave data is available at the model output nodes and full, directionally resolved, 2D wave spectra is available at "virtual buoy" locations covering select NDBC and CDIP stations as well as select wave energy converter test sites. The bulk wave data is available at a 3-hr temporal resolution, and the full 2D wave spectra is available at a 1-hr temporal resolution. Development of this hindcast dataset was motivated mainly to support the wave energy industry, both in planning wave energy projects, operation and maintenance, and design of wave energy converters. The utility of this dataset extends beyond the wave energy industry and also has value for characterizing extreme wave loads and accessing risks for ocean engineering projects. AU - Meuris, Brek J. A2 - Ahn, Seongho A3 - Neary, Vincent S. DB - Marine and Hydrokinetic Data Repository DP - Open EI | National Renewable Energy Laboratory DO - KW - MHK KW - Marine KW - Hydrokinetic KW - energy KW - power KW - coastal KW - climate KW - ocean sea surface height KW - ocean simulation KW - oceans KW - wave KW - wave energy KW - water KW - resource KW - geospatial data KW - hindcast KW - US EEZ KW - Exclusive Economic Zone KW - characterization KW - WEC KW - Wave Energy Converter KW - marine energy resource assessment KW - marine energy resource characterization KW - US East Coast KW - US Gulf of Mexico KW - Puerto Rico KW - US Virgin Islands KW - blue economy KW - ocean engineering KW - coastal engineering KW - aquaculture LA - English DA - 2025/02/07 PY - 2025 PB - Sandia National Laboratories T1 - Ocean Surface Wave Model Hindcast Data-US East Coast, Gulf of Mexico, Caribbean Sea (Puerto Rico & US Virgin Islands) UR - https://mhkdr.openei.org/submissions/629 ER -
Export Citation to RIS
Meuris, Brek J., et al. Ocean Surface Wave Model Hindcast Data-US East Coast, Gulf of Mexico, Caribbean Sea (Puerto Rico & US Virgin Islands). Sandia National Laboratories, 7 February, 2025, Marine and Hydrokinetic Data Repository. https://mhkdr.openei.org/submissions/629.
Meuris, B., Ahn, S., & Neary, V. (2025). Ocean Surface Wave Model Hindcast Data-US East Coast, Gulf of Mexico, Caribbean Sea (Puerto Rico & US Virgin Islands). [Data set]. Marine and Hydrokinetic Data Repository. Sandia National Laboratories. https://mhkdr.openei.org/submissions/629
Meuris, Brek J., Seongho Ahn, and Vincent S. Neary. Ocean Surface Wave Model Hindcast Data-US East Coast, Gulf of Mexico, Caribbean Sea (Puerto Rico & US Virgin Islands). Sandia National Laboratories, February, 7, 2025. Distributed by Marine and Hydrokinetic Data Repository. https://mhkdr.openei.org/submissions/629
@misc{MHKDR_Dataset_629, title = {Ocean Surface Wave Model Hindcast Data-US East Coast, Gulf of Mexico, Caribbean Sea (Puerto Rico \& US Virgin Islands)}, author = {Meuris, Brek J. and Ahn, Seongho and Neary, Vincent S.}, abstractNote = {This dataset contains the raw model outputs from long-term (42 years), high-resolution (approximately 200 m in the nearshore regions) Simulating WAves Nearshore (SWAN) hindcasts covering the East Coast, Gulf of Mexico, Puerto Rico, and US Virgin Islands regions of the US Exclusive Economic Zone (EEZ). Comprehensive bulk wave data is available at the model output nodes and full, directionally resolved, 2D wave spectra is available at "virtual buoy" locations covering select NDBC and CDIP stations as well as select wave energy converter test sites. The bulk wave data is available at a 3-hr temporal resolution, and the full 2D wave spectra is available at a 1-hr temporal resolution. Development of this hindcast dataset was motivated mainly to support the wave energy industry, both in planning wave energy projects, operation and maintenance, and design of wave energy converters. The utility of this dataset extends beyond the wave energy industry and also has value for characterizing extreme wave loads and accessing risks for ocean engineering projects.}, url = {https://mhkdr.openei.org/submissions/629}, year = {2025}, howpublished = {Marine and Hydrokinetic Data Repository, Sandia National Laboratories, https://mhkdr.openei.org/submissions/629}, note = {Accessed: 2025-12-22} }

Details

Data from Feb 7, 2025

Last updated Dec 19, 2025

Submission in progress

Organization

Sandia National Laboratories

Contact

Vincent Neary

Authors

Brek J. Meuris

Sandia National Laboratories

Seongho Ahn

Jeju National University

Vincent S. Neary

Sandia National Laboratories

DOE Project Details

Project Name Model Validation and Site Characterization for Early Deployment MHK Sites and Establishment of Wave Classification Scheme

Project Lead Heather Spence

Project Number FY25 AOP 2.1.5.701

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